Untreated IF Image ROCrate

ark:59852/rocrate-untreated-if-data-release

02/28/2025

This data set displays the spatial localization of 464 proteins of interest in untreated cells of the breast cancer cell line MDA-MB-468 as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) project. Nuclei were stained with DAPI (blue channel); endoplasmic reticulum with a calreticulin antibody (yellow channel); microtubules with tubulin antibody (red channel); and antibody against protein of interest (green channel). This data is Copyright (c) 2025 The Board of Trustees of the Leland Stanford Junior University. It is licensed for reuse under Creative Commons Attribution Share Alike Noncommercial 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/). Attribution is required to the copyright holders and the authors. Any publications referencing this data or derived products should cite the related article as well as directly citing this data collection.

Hansen JN, Axelsson U, Johannesson A, Fall J, Ballllosera Navarro F, Lundberg E

N/A

https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en

artificial intelligence, breast cancer, cell maps, CM4AI, machine learning, MDA-MB-468, protein localization